Overview
Most people would agree that technology has the potential to bring about tremendous improvements to healthcare delivery. However, to date, digital innovation has brought as much change as it did hype and unrealistic expectations. Artificial Intelligence is but an enabler - among many enablers - that can lead to more precise therapies and more efficient care.
In this insightful talk by Dr Homer Pien, Chief Scientific Officer of Philips, discover how technology is altering the landscape of diagnosis, and in particular, imaging. With financial pressures brought about by the ageing population, technology can make healthcare delivery more efficient. As the demand for healthcare increases, there will be an increasing shortage of qualified healthcare workers - technology can enable greater simplicity in healthcare. Lastly, find out how analytics for disease risk stratification can help society focus greater resources on those who need it most.
Date: 14 November 2019, Thursday
Time 4:00pm - 6:00pm
Venue 32 Carpenter Street, Singapore 059911
Speakers:
- Her Excellency Margriet Vonno, Ambassador of the Netherlands to Singapore and Brunei
- Steve Leonard, Founding CEO, SGInnovate
- Dr Homer Pien, Chief Scientific Officer, Philips
Programme:
4:00pm - 4:30pm Registration
4:30pm - 4:35pm Welcome Remarks by Steve Leonard, Founding CEO, SGInnovate
4:35pm - 4:45pm: Opening Remarks by Her Excellency Margriet Vonno, Ambassador of the Netherlands to Singapore and Brunei
4:45pm - 5:30pm Talk on the Future of Medical Innovation by Dr Homer Pien, Chief Scientific Officer, Philips
5:30pm - 6:00pm Networking
Speaker's Profile:
Dr Homer Pien, Chief Scientific Officer, Philips
Dr Pien is the Head of Scientific Office for Precision Diagnosis at Philips, and previously Chief Scientific Officer for Diagnosis and Treatment at Philips and was the Chief Technology Officer for Philips' Imaging businesses. Prior to joining Philips in 2012, Dr Pien was with Massachusetts General Hospital's Department of Radiology for 9 years. Dr Pien holds a PhD in image processing and computer vision, as well as a MS in technology management.
